Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

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Projets par catégorie

Comprehensive evaluation of data-driven mode decomposition techniques for the analysis of separating and reattaching flows

This research project will systematically evaluate data-driven mode decomposition techniques (POD, Spectral POD (SPOD), finite impulse response SPOD (FIR-SPOD) and a machine-learning (ML) based nonlinear method) for separating and reattaching flows using existing experimental and numerical databases of a laminar boundary layer approaching an FFS. There will provide three significant results: (1) critical insight as to the effectiveness of different dimensional reduction techniques for the analysis of separated flow dynamics, (2) the development and evaluation of an ML-based nonlinear mode decomposition method for flow analysis, and (3) enhancement of understanding of key scale interactions in separated flows. We will be able to determine which method is most suitable for enhancing our understanding the dynamics of the flow, and which is most reliable for flow estimation and control purposes, as they may not be the same. These outcomes are a step towards enhancing knowledge of the physics of separated flows which are prevalent in bluff body aerodynamics (e.g., buildings), and the improvement of data-driven flow estimation, prediction and control tools which are crucial for remote sensing applications (e.g., drones in urban environments), which are of interest to an ongoing research collaboration between Institut Pprime, Université Paris-Saclay and University of Calgary.

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Superviseur du corps professoral :

Robert Martinuzzi

Étudiant :

Partenaire :

Université de Poitiers

Discipline :

Physics

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Development of a Cost-Effective Machine Learning-Based Device for Predicting Nitrous Oxide Emissions in Agricultural Fields

Agriculture and Agri-Food Canada has initiated a program to reduce fertilizer N2O emissions by 30 % from 2020 to 2030 [14]. Accurate monitoring of agricultural N2O emissions is crucial for understanding their environmental impact and implementing effective mitigation strategies.
Current research mainly focuses on measuring N2O emissions from the ground. The spectroscopic-based LI-COR sensor is a typical instrument for measuring N2O emissions [19]. The instrument is expensive and typically costs a few hundred thousand to own. Therefore, there is a lack of cost-effective sensors that can predict nitrous oxide emissions from farmland, taking into account all the factors such as soil temperature, soil moisture, and nitrate level in the soil simultaneously.
This research aims to apply a machine learning technique to train a novel device using the N2O emissions data from a LI-COR sensor, as well as the amount of fertilizers in the soil, soil moisture, and soil temperature. After the device is trained, it can then be deployed to predict N2O emissions from agricultural fields using only data on nitrogen fertilizers in the soil, soil moisture, and soil temperature.

Voir la description complète du projet
Superviseur du corps professoral :

Tet Yeap

Étudiant :

Partenaire :

Invest Ottawa

Discipline :

Engineering

Secteur :

Information and cultural industries; Management of companies and enterprises; Professional, scientific and technical services; Transportation and warehousing

Université :

University of Ottawa

Programme :

Accelerate

Incidence of Neonatal Sepsis in British Columbia

A retrospective cohort study design will be used to determine the population-based incidence of sepsis in infants up to 28 days after birth, and by gestational age in weeks. The project will use BC data from the Perinatal Registry on all births over 16 years, and readmissions up to 28 days after birth. The intern will gain experience applying fundamental epidemiology concepts in a research setting, develop problem solving skills, and gain hands on experience developing a research project in a new institution. This practicum will allow the intern to gain direct experience working in a clinical environment with epidemiologists. This project will allow the intern to develop their problem-solving skills and improve their understanding of the health status of a population (neonates in Canada), as well as using evidence and preexisting data to analyze gaps and limitations within key issues being addresses. The intern will gain experience in data analysis, while being exposed to provincial data sets through population administrative databases.

Voir la description complète du projet
Superviseur du corps professoral :

Joanna-Trees Merckx;Pascal Lavoie

Étudiant :

Partenaire :

BC Children’s Hospital Research Institute

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Transition comportementale dans l’adoption des technologies domestiques durables

La consommation d’énergie résidentielle est responsable d’une part considérable des émissions de gaz à effet de serre (GES) des ménages. La majeure partie de cette consommation provient de sources d’énergies fossiles. Une transition rapide et profonde de la consommation des énergies fossiles vers des énergies renouvelables et de l’adoption des technologies facilitatrices peut contribuer de manière significative à la réduction des GES. La recherche sur les transitions comportementales vers la durabilité suscite un intérêt croissant, mais les recherches restent embryonnaires sur ces processus de transition. L’objectif de cette étude est de comprendre les transitions comportementales chez des individus et des groupes dans l’adoption de technologies d’utilisation des énergies renouvelables à des fins domestiques. Le gouvernement du Canada a investit plus de180 milliards de dollars sur 12 ans dans divers projets dont les infrastructures vertes. C’est dans ce cadre que Ressources Naturelles Canada finance un projet de communauté énergétique intelligente dans la ville de Shédiac au Nouveau-Brunswick. Le stagiaire doctoral aura pour rôle de contribuer aux études qualitatives qui seront conduites auprès de 167 personnes et menages impliqués dans ce projet.

Voir la description complète du projet
Superviseur du corps professoral :

Kadia Georges Aka

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Sociology

Secteur :

Education

Université :

Université de Moncton

Programme :

Globalink Research Award

Smithsonian Folkways Recordings Sound Communities Initiative

This project has two main goals: 1- to create SCI’s Strategic and Business plans, and Operational policies, and white papers to distribute widely, establishing “best practices” to foster EDIARD at our foundations and in the music industry more broadly. 2 – to research and produce music and cultural knowledge documenting and celebrating diverse communities, while also deliver public education and sharing the research and cultural knowledge. The unique contributions and strengths of our project are in creating a model for decolonizing the music industry, and training a new generation of professionals from marginalized backgrounds. Although each intern has a specific role, all of them are are expected to support the SCI´S operations to achieve those two objectives. Activities will range from planning, execution, financial management, creation of learning resources and digital assets such as films, content for social media, curriculum materials, etc. For details see 2.1b.

Voir la description complète du projet
Superviseur du corps professoral :

Marcia Ostashewski

Étudiant :

Partenaire :

Sound Communities Inc.

Discipline :

Sociology

Secteur :

Education; Entertainment and Media; Indigenous Affairs

Université :

Cape Breton University

Programme :

Business Strategy Internship

Ignite – Implementation of workforce and integration strategies for retention of newcomers in New Brunswick

Ignite leads integrated economic development growth through diverse initiatives that create an environment for our communities and businesses to be successful. We create a climate for growth through the support of job creation, entrepreneur development, workforce attraction and community support in the Capital and Western New Brunswick Regions. Presently they are facing challenges in effectively supporting and facilitating the integration, adaptation, and retention of newcomers to the region, including immigrants, refugees, and international students. For this reason, they want to hire a Workforce & Integration Intern, who can innovate Workforce and Integration strategies which can strengthen and expand the organization’s capacity to develop targeted workforce and integration programs and activities to support newcomers. This project will help the client in retention of newcomers to the region by implementing an effective workforce integration program and ?outreach strategies.

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Superviseur du corps professoral :

Stephen Grant;Akash Das

Étudiant :

Partenaire :

Ignite Fredericton

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services; Management of companies and enterprises; Other services (except public administration); Professional, scientific and technical services; Public administration

Université :

University of New Brunswick

Programme :

Business Strategy Internship

Enhancement and in-field deployment of spectroscopy-based nutrient sensor for potato plants using machine learning and IoT techniques

This is a project that aims to deploy a new sensing system that allows the estimate of nutrients in potato plants in near real-time by scanning their leaves in two different modes: fresh when still intact and dried. This sensing system would replace manual sampling and wet tissue chemical analysis to allow immediate response to nutrient deficiency that will optimize the use of fertilizers and contribute to reducing greenhouse gas emission – in addition to the economic benefits of using fertilizers only as needed. In order to be deployed, the sensing system should be validated and tested which this project will help to achieve. This step is critical because the sensing system relies on machine learning whose performance improves as more data are used for training and evaluation. Hence, maximizing the amount of data is one of the objectives of this project. Also, the enhanced machine learning models will be plugged in a computational cloud around which wireless connectivity will be developed which is the other objective in this project.

Voir la description complète du projet
Superviseur du corps professoral :

Ahmad Al-Mallahi

Étudiant :

Partenaire :

McCain Foods

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Continuous hydrogen and carbon production and characterization from methane pyrolysis in molten media

In partnership with the University of British Columbia, the intern will work with VulcanX, a Canadian energy company, on a project to make hydrogen production cleaner and cheaper. They will help set up a reactor with the capability of producing hydrogen and solid carbon in a continuous process. This setup will be used to evaluate the impacts of operational parameters such as temperature, pressure, feedstock, and molten media composition on the products. The intern will work closely with VulcanX’s team, getting guidance and using their resources. VulcanX will share data and information throughout the project. The project aims to make low-emission hydrogen and solid carbon at scale, which is important for VulcanX’s technology commercialization. It will also benefit Canada to revitalize its natural gas resources and infrastructure towards a low-carbon economy and create jobs in the clean-tech sector.

Voir la description complète du projet
Superviseur du corps professoral :

Walter Merida

Étudiant :

Partenaire :

VulcanX

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Generating Reliable Estimates for the GHG Emissions Impacts of Existing and Future Cycling Infrastructure

This project focuses on identifying and developing methods of estimating the Green house Gas (GHG)- emissions related benefits of bicycle infrastructure (such as, painted bike lanes, protected bike lanes, multi-use trails). GHG-emissions estimation methods that consider both the “benefits” and “costs” related to active transportation infrastructure is extremely rare, and as a result, there is no clear and comprehensive guideline for Canadian municipalities to understand the environmental-sustainability related benefits of these planning efforts. The project has two goals. First, we will identify existing best practices in methods and municipal approaches to measuring GHG emissions-related benefits of active transportation and public transportation infrastructure. Second, we will develop a GHG-emissions modelling framework that can be easily implemented by the City of Toronto and other Canadian municipalities. A key goal will be to develop a proof-of-concept method that can be implemented by Canadian municipalities now, within the current limitations in terms of data availability.

Voir la description complète du projet
Superviseur du corps professoral :

Raktim Mitra

Étudiant :

Partenaire :

City of Toronto

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Public administration; Utilities

Université :

Toronto Metropolitan University

Programme :

Elevate

Investigations into LCC-HVDC Converter connecting to weak ac systems using various compensator configurations

Line-commutated Converters (LCC) have been used for over half a century due to their robustness as well as high power capacity. However, they can face challenges from voltage and frequency disturbances in the case of terminating in a very weak ac network. Such systems use synchronous condensers (SCs) to provide voltage and frequency support at the receiving end. A promising new topology for connecting SCs into an ac network has been developed at TGS (the industry partner). In this approach, the SC is interfaced with the network through an asynchronous by-passable back-to-back VSC link. This removes the requirement for the SC to operate at network frequency, thereby allowing much larger energy transfer to the SC’s rotating mass during under/over frequency events. Closing the bypass circuit breaker during normal operation allows the SC to perform its usual voltage control function in parallel with two converters which work as two STATCOMS. This provides the system with much more reactive power during voltage disturbances. The project aims to investigate the applicability of this approach in LCC-HVDC converters considering the range of operating contingencies.

Voir la description complète du projet
Superviseur du corps professoral :

Aniruddha M. Gole

Étudiant :

Partenaire :

TransGrid Solutions

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Ácara Climate : Mesurer les impacts financiers des changements climatiques en agriculture

Le projet consiste à développer et entraîner un modèle hybride (process-based model & computer simulation model) pour quantifier les impacts financiers des changements climatiques sur l’agriculture. Acara cherche à évoluer vers un modèle hybride intégrant des techniques de Machine Learning (ML). Cette transition marquera une étape importante avant le lancement de projets pilotes qui mettront en oeuvre ce nouveau modèle dans des conditions réelles.
Le projet de stage vise donc à résoudre ces problèmes spécifiques en exploitant l’apprentissage automatique pour améliorer le plus possible la précision des prévisions. Ainsi, Acara vise à tester et valider les résultats prédictifs du modèle hybride, afin d’établir une preuve de concept robuste qui fournira une validation scientifique
de notre approche.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Thierry Badard

Étudiant :

Partenaire :

ÁCARA Climate

Discipline :

Computer science

Secteur :

Information and Communications Technology; Artificial Intelligence

Université :

Université Laval

Programme :

Accelerate

Sheep shape: Investigating the influence of seasonal nutrition on Stone’s sheep body condition

Stone’s sheep are a genetically distinct subspecies of thinhorn sheep which exist almost entirely in British Columbia (BC), giving BC a global responsibility to manage this unique species. Ungulate nutrition has a direct influence on population dynamics and behaviour, and forage availability and quality in late summer and early fall are increasingly considered key to over-winter survival. However, late winter peaks in mortality consistently linked to poor body condition often led to habitat enhancement activities on seasonal winter ranges to improve survival. The goal of this project is to investigate the influence of nutrition on body condition in Stone’s sheep in the Finlay Russell ranges by providing information on forage quality and quantity on summer and winter ranges. This information, when paired with fine scale body condition data, will lead to an improved understanding of the role of nutrition and its limitations for Stone’s sheep. Our goal is to provide a greater depth of knowledge for implementing habitat enhancement actions in ranges where seasonal range quality or body condition is limiting. Providing meaningful habitat management recommendations in turn would increase the viability and conservation of this unique species.

Voir la description complète du projet
Superviseur du corps professoral :

Adam Ford

Étudiant :

Partenaire :

BC Wildlife Federation

Discipline :

Life Sciences

Secteur :

Agriculture; Other services (except public administration)

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

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